University of California Irvine

Bayesian Multilevel Modeling for the Intersections of Race and Gender.
​Solo- Authored. Supported by the Empirical Study of Gender Research Network.

Intersectional Quantitative Methods.  Forthcoming solo-authored chapter in the Oxford Handbook of Methodological Pluralism. 

Understanding Gender Consciousness in the Dobbs v. Jackson Era - A Twitter Approach. 
Dissertation Project. Supported by APSA Centennial Grants and the Center for the Study of Democracy at UC Irvine. 

Operationalizing Intersectionality in Machine Learning.
Co-Authored with Ines Levin, UC Irvine. Working Paper. 

​Misidentified Independents: Understanding Independents through Affective Polarization. Co-Authored piece with Kyle McWagner, UC Irvine. Working paper. 

Alvarez Lab at CalTech ​

Quantitative Methods in the Intersectional Research Paradigm.
Quantitative and Computational  Methods for the Social Sciences Element Book. Under Advance Contract with Cambridge University Press. Co-authored with Claudia Kann, CalTech.
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​Activated Identity and Political Action in the #MeToo Era.
First Author. Co-authors: Daniel Ebanks, CalTech; ​Sara Kangaslahti, CalTech,  Jean Kossaifi, Nvidia; Michael Alvarez, CalTech; Anqi Liu, Nvidia; Anima Anandkumar, Nvidia

Operationalizing Class as a Latent Measure of Social Identity. 
Co-authored with Claudia Kann, CalTech. Working Paper. 

Climate Change and Racial Group Attitudes. 
​Co-authored with Michael Alvarez, CalTech. Original YouGov Data funded by the Alvarez Research Lab. Working Paper.